[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
research-article

Coevolving allocation of resources and cooperation in spatial evolutionary games

Published: 15 October 2017 Publication History

Abstract

In this article, the co-evolution of resources and cooperation in spatial evolutionary games is studied. Existence of competition in nature and human society derives from the confrontation between the limit of resources and the infinity of demands. As a result, resource allocation is inseparable from various games, where resource acquisition depends on the outcome of games and the number of possessing resources would in turn affect the choice of game strategy. Here, by means of a concise and strategy-independent rule, limited resources are firstly involved into the evolution of prisoner's dilemma game (PDG) and three main results are obtained: (a) the coevolving resources in PDG can effectively promote the level of cooperation, and players with cooperative behavior are easier to possess resources; (b) in equilibrium, resources in the system approximately follow the power law distribution. A fraction of players would hold the most of resources but a considerable number of players lose almost all their property; (c) when the lowest guarantee of resources as a protective mechanism is assigned to each player, the level of cooperation can be further promoted. Moreover, an optimal value of the lowest guarantee can be found to inspire cooperative behaviors. The related microscopic system properties are studied and other social dilemmas as different kinds of representatives are also discussed.

References

[1]
A.J. Jarvis, S.J. Jarvis, C.N. Hewitt, Resource acquisition, distribution and end-use efficiencies and the growth of industrial society, Earth Syst. Dyn., 6 (2015) 689-702.
[2]
R. Voormann, Income inequality: economic disparities and the middle class in affluent countries, Contemp. Sociol., 45 (2016) 179-181.
[3]
D. Castells-Quintana, R. Ramos, V Royuela, Income inequality in European regions: recent trends and determinants, Rev. Reg. Res., 35 (2015) 123-146.
[4]
K.A. Piccone, The role of affect in resource allocation among competing goals: exploring the antecedents and consequences of the activation dimension of affect, Gradworks, 2013.
[5]
X. Li, G. Da, P. Zhao, Competing between two groups of individuals following frailty models, Methodol. Comput. Appl. Probab., 14 (2012) 1033-1051.
[6]
J.M. Biernaskie, Evidence for competition and cooperation among climbing plants, Proc. R. Soc. B Biol. Sci., 278 (2011) 1989-1996.
[7]
A.L. File, G.P. Murphy, S.A. Dudley, Fitness consequences of plants growing with siblings: reconciling kin selection, niche partitioning and competitive ability, Proc. R. Soc. B Biol. Sci., 279 (2012) 209-218.
[8]
J.L. Molina, MJ Lubbers, H. ValenzuelaGarca, Cooperation and competition in social anthropology, Anthropol. Today, 33 (2017) 11-14.
[9]
M.A. Nowak, R.M. May, Evolutionary games and spatial chaos, Nature, 359 (1992) 826-829.
[10]
X. Ding, H. Li, Q. Yang, Stochastic stability and stabilization of n-person random evolutionary Boolean games, Appl. Math. Comput., 306 (2017) 1-12.
[11]
L.L. Tian, M.C. Li, Z. Wang, Cooperation enhanced by indirect reciprocity in spatial prisoner's dilemma games for social P2P systems, Phys. A, 462 (2016) 1252-1260.
[12]
Z. Wang, A. Szolnoki, M. Perc, Self-organization towards optimally interdependent networks by means of coevolution, New J. Phys., 16 (2014).
[13]
H. Liang, M. Cao, X. Wang, Analysis and shifting of stochastically stable equilibria for evolutionary snowdrift games, Syst. Control Lett., 85 (2015) 16-22.
[14]
M.H. Chen, L. Wang, J. Wang, Impact of individual response strategy on the spatial public goods game within mobile agents, Appl. Math. Comput., 251 (2015) 192-202.
[15]
F. Nian, X. Wang, Efficient immunization strategies on complex networks, J. Theor. Biol., 264 (2010) 77-83.
[16]
C. Granell, S. Gomez, A. Arenas, Dynamical interplay between awareness and epidemic spreading in multiplex networks, Phys. Rev. Lett., 111 (2013).
[17]
E. Estrada, S. Meloni, M. Sheerin, Epidemic spreading in random rectangular networks, Phys. Rev. E, 94 (2016).
[18]
F. Nian, X. Wang, Optimal pinning synchronization on directed complex network, Chaos, 21 (2011) 1-8.
[19]
X. Song, J. Park, Linear quadratic regulation problem for discrete-time systems with multi-channel multiplicative noise, Syst. Control Lett., 89 (2016) 74-82.
[20]
X. Wang, F. Nian, G. Guo, High precision fast projective synchronization in chaotic (hyperchaotic) systems, Phys. Lett. A, 373 (2009) 1754-1761.
[21]
F. Radicchi, Detectability of communities in heterogeneous networks, Phys. Rev. E, 88 (2013).
[22]
A. Ghasemian, P. Zhang, A. Clauset, Detectability thresholds and optimal algorithms for community structure in dynamic networks, Phys. Rev. X, 6 (2016).
[23]
G. Szab, L. Varga, M. Szab, Anisotropic invasion and its consequences in two-strategy evolutionary games on a square lattice, Phys. Rev. E, 94 (2016).
[24]
H. Deng X., Y. Liu, G. Chen Z., Memory-based evolutionary game on small-world network with tunable heterogeneity, Phys. A, 389 (2010) 5173-5181.
[25]
Q. Dai, H. Cheng, H. Li, Crossover between structured and well-mixed networks in an evolutionary prisoner's dilemma game, Phys. Rev. E, 84 (2011).
[26]
Z. Wang, A. Szolnoki, M. Perc, Optimal interdependence between networks for the evolution of cooperation, Sci. Rep., 3 (2013) 2470.
[27]
Z. Wang, L. Wang, A. Szolnoki, M. Perc, Evolutionary games on multilayer networks: a colloquium, Eur. Phys. J. B, 88 (2015) 124.
[28]
C. Luo, X. Zhang, H. Liu, Cooperation in memory-based prisoner's dilemma game on interdependent networks, Phys. A, 450 (2016) 560-569.
[29]
A. Szolnoki, G. Szab, Cooperation enhanced by inhomogeneous activity of teaching for evolutionary Prisoner's Dilemma games, EPL, 77 (2007) 30004.
[30]
Z. Li, Z. Yang, T. Wu, Aspiration-based partner switching boosts cooperation in social dilemmas, PLoS ONE, 9 (2014) e97866.
[31]
W. Zeng, M. Li, F. Chen, Cooperation in the evolutionary iterated prisoner's dilemma game with risk attitude adaptation, Appl. Soft Comput., 44 (2016) 238-254.
[32]
Z. Wang, A. Szolnoki, M. Perc, Rewarding evolutionary fitness with links between populations promotes cooperation, J. Theor. Biol., 349 (2014) 50-56.
[33]
A. Szolnoki, M. Perc, Coevolution of teaching activity promotes cooperation, New J. Phys., 10 (2008).
[34]
A. Szolnoki, M. Perc, Promoting cooperation in social dilemmas via simple coevolutionary rules, Eur. Phys. J. B, 67 (2009) 337-344.
[35]
J. Poncela, J. Gmez-Gardees, A. Traulsen, Evolutionary game dynamics in a growing structured population, New J. Phys., 11 (2009).
[36]
A. Szolnoki, M. Perc, Emergence of multilevel selection in the prisoner's dilemma game on coevolving random networks, New J. Phys., 11 (2009).
[37]
A. Szolnoki, M. Perc, Coevolutionary success-driven multigames, EPL, 108 (2014) 28004.
[38]
M. Perc, Success-driven distribution of public goods promotes cooperation but preserves defection, Phys. Rev. E, 84 (2011).
[39]
M. Perc, A. Szolnoki, Coevolutionary games a mini review, BioSystems, 99 (2010) 109-125.
[40]
M. Perc, Phase transitions in models of human cooperation, Phys. Lett. A, 380 (2016) 2803-2808.
[41]
A. Cardillo, J Gmez-Gardees, D Vilone, Co-evolution of strategies and update rules in the prisoner's dilemma game on complex networks, New J. Phys., 12 (2010).
[42]
D Lin, Q Wang, D Lin, An energy-efficient clustering routing protocol based on evolutionary game theory in wireless sensor networks, Int. J. Distrib. Sens. Netw., 2015 (2015).

Cited By

View all
  • (2018)Co-evolution of cooperation and limited resources on interdependent networksApplied Mathematics and Computation10.1016/j.amc.2017.08.018316:C(174-185)Online publication date: 1-Jan-2018
  1. Coevolving allocation of resources and cooperation in spatial evolutionary games

    Recommendations

    Comments

    Please enable JavaScript to view thecomments powered by Disqus.

    Information & Contributors

    Information

    Published In

    cover image Applied Mathematics and Computation
    Applied Mathematics and Computation  Volume 311, Issue C
    October 2017
    332 pages

    Publisher

    Elsevier Science Inc.

    United States

    Publication History

    Published: 15 October 2017

    Author Tags

    1. Co-evolution
    2. Evolutionary games
    3. Prisoner's dilemma game
    4. Resource distribution

    Qualifiers

    • Research-article

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)0
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 24 Dec 2024

    Other Metrics

    Citations

    Cited By

    View all
    • (2018)Co-evolution of cooperation and limited resources on interdependent networksApplied Mathematics and Computation10.1016/j.amc.2017.08.018316:C(174-185)Online publication date: 1-Jan-2018

    View Options

    View options

    Media

    Figures

    Other

    Tables

    Share

    Share

    Share this Publication link

    Share on social media